Compiler Engineer - AI Inference

Requirements:

• BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.
• Compiler Experience: 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement.
• MLIR Knowledge: Demonstrated, hands-on experience working with MLIR.
• Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.
• Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

Nice to haves:

• Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.
• LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.
• Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up.

What you'll be doing:

• Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
• Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products.
• Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon.
• Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments.

Perks and benefits:

• Competitive salaries and a generous benefits package
• Considered one of the technology world’s most desirable employers
• Forward-thinking and hardworking team
• Unprecedented growth with exclusive engineering teams rapidly expanding
• Opportunity for creative and autonomous engineers with a real passion for technology